Report
Published May 11, 2026
Fraud Management Identity
Explore how modern fraudsters use coordinated, strategic attack methods—and learn how to detect, disrupt and prevent them using behavioral intelligence and real-time insights.
Key insights:
- Fraudsters use structured attack strategies like reconnaissance, blitzes and deception to exploit weaknesses
- AI-driven bots and automation are rapidly increasing the scale and speed of fraud attacks
- Behavioral analytics reveals hidden fraud signals traditional tools miss
- Early detection and layered defenses help stop attacks before they escalate
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Webinar
Scam detection: a guide for financial institutions
Learn how fraud teams can recognize scam activity earlier and strengthen prevention across the customer lifecycle.
- Explore five common scam types and their lifecycles
- Identify behavioral, device and payment red flags
- Understand how AI is changing scam tactics
- Discover tools for detecting high-risk activity sooner
White Paper
Holiday Readiness Starts at Checkout
Prepare your checkout strategy for peak shopping season with practical guidance on balancing fraud prevention and customer experience.
- Learn how false declines affect revenue and loyalty.
- Explore layered identity and authentication strategies.
- Improve approvals while reducing unnecessary checkout friction.
- Review a retailer case study with measurable business outcomes.
Case Study
Global Money Transfer Leader Reduces ATO-Driven Loss
See how NeuroID helped a money transfer leader reduce ATO losses and improve fraud detection.
- Achieved $1.4M in annualized gross savings by reducing fraud losses and operational costs.
- Delivered a 56x lift in chargeback predictive power using behavioral, device and network signals.
- Increased conversion rates by 2% while reducing manual reviews and maintaining a frictionless experience.
- Strengthened account takeover protection with real-time behavioral analytics and decisioning.
Report
2026 Identity & Fraud Report
Discover how AI, fraud and identity are reshaping digital trust. Based on research with U.S. consumers and businesses, this report explores emerging trends and practical strategies.
- Understand today's evolving fraud landscape and AI-driven threats
- Learn how identity intelligence supports trust and customer experience
- Explore consumer expectations for security, privacy and personalization
- Prepare for the future of agentic commerce and digital trust